Description: Mastering Data-Intensive Collaboration and Decision Making Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Research and practical applications in the Dicode project Author(s): Nikos Karacapilidis Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319349961, 978-3319349961 Synopsis This book reports on cutting-edge research carried out within the context of the EU-funded Dicode project, which aims at facilitating and augmenting collaboration and decision making in data-intensive and cognitively complex settings. Whenever appropriate, Dicode builds on prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze, and aggregate data from diverse, extremely large and rapidly evolving sources. The Dicode approach and services are fully explained and particular emphasis is placed on deepening insights regarding the exploitation of big data, as well as on collaboration and issues relating to sense-making support. Building on current advances, the solution developed in the Dicode project brings together the reasoning capabilities of both the machine and humans. It can be viewed as an innovative "workbench" incorporating and orchestrating a set of interoperable services that reduce the data intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and effective in their work practices.
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Location: Aldershot
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Book Title: Mastering Data-Intensive Collaboration and Decision Making
Subject Area: Data Analysis
Item Height: 235 mm
Item Width: 155 mm
Series: Studies in Big Data
Author: Nikos Karacapilidis
Publication Name: Mastering Data-Intensive Collaboration and Decision Making: Research and practical applications in the Dicode project
Format: Paperback
Language: English
Publisher: Springer International Publishing A&G
Subject: Engineering & Technology, Computer Science, Management
Publication Year: 2016
Type: Textbook
Item Weight: 3635 g
Number of Pages: 226 Pages
